Description Usage Arguments Value Author(s) References

View source: R/coefficients.pfr.R

This function is used to extract a coefficient from a fitted 'pfr' model, in
particular smooth functions resulting from including functional terms specified
with `lf`

, `af`

, etc. It can also be used to extract smooths
genereated using `mgcv`

's `s`

, `te`

, or `t2`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ```
## S3 method for class 'pfr'
coefficients(
object,
select = 1,
coords = NULL,
n = NULL,
se = ifelse(length(object$smooth) & select, TRUE, FALSE),
seWithMean = FALSE,
useVc = TRUE,
Qtransform = FALSE,
...
)
## S3 method for class 'pfr'
coef(
object,
select = 1,
coords = NULL,
n = NULL,
se = ifelse(length(object$smooth) & select, TRUE, FALSE),
seWithMean = FALSE,
useVc = TRUE,
Qtransform = FALSE,
...
)
``` |

`object` |
return object from |

`select` |
integer indicating the index of the desired smooth term
in |

`coords` |
named list indicating the desired coordinates where the
coefficient function is to be evaluated. Names must match the argument names
in |

`n` |
integer vector indicating the number of equally spaced coordinates
for each argument. If length 1, the same number is used for each argument.
Otherwise, the length must match |

`se` |
if |

`seWithMean` |
if |

`useVc` |
if |

`Qtransform` |
For additive functional terms, |

`...` |
these arguments are ignored |

a data frame containing the evaluation points,
coefficient function values and optionally the SE's for the term indicated
by `select`

.

Jonathan Gellar and Fabian Scheipl

Marra, G and S.N. Wood (2012) Coverage Properties of Confidence Intervals for Generalized Additive Model Components. Scandinavian Journal of Statistics.

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